Multiple Seismic Attributes Quantitative Analysis to Detect Hydrocarbon in Deepwater Sedimentary Reservoir

With the development of oil and gas exploration, the directly hydrocarbon detecting based on seismic is widely used, especially in deepwater exploration. Deepwater exploration features expensive and high risk. Thus, the important and urgent affair is to reduce the exploration risk as much as possible. As the ultimate aim of geophysics technology, the direct hydrocarbon detecting using seismic data is one of the most competitive methods to every geophysics company. Several hydrocarbon detect methods have been widely used and continuing been developed in the deepwater exploration. Hydrocarbon detecting is mainly based on seismic data. Drilling data just takes as reference andcalibration. It is common knowledge that seismic data contains abundant information, such as amplitude, frequency and waveform. The impedance also can be acquired by seismic P-impedanceinversion. All of the information are not only the mirror of the lithology, but also feature the hydrocarbon communicated in the reservoir. Thus, the analysis of these attributes can be used to identify hydrocarbon. This paper presents a multiple seismic attributes quantitative analysis method to detect hydrocarbon based on of seismic and drilling data of Equatorial Guinea, and achieved good effect on gas, oil and water identification.